learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision Macro	Recall Macro	F1 Macro	F1 Weighted
0.5276	1.0	90	0.2313	0.9330	0.9562	0.7135	0.7472	0.9219
0.2071	2.0	180	0.1934	0.9488	0.8663	0.8697	0.8679	0.9489
0.1535	3.0	270	0.1780	0.9520	0.8910	0.8427	0.8634	0.9505
0.133	4.0	360	0.1885	0.9507	0.9063	0.8376	0.8654	0.9488
0.1051	5.0	450	0.1948	0.9488	0.8749	0.8611	0.8677	0.9484
0.1016	6.0	540	0.2034	0.9520	0.9061	0.8509	0.8743	0.9506
0.0805	7.0	630	0.2120	0.9501	0.8674	0.8700	0.8687	0.9502
0.074	8.0	720	0.2037	0.9564	0.9200	0.8625	0.8869	0.9551
0.0616	9.0	810	0.2101	0.9526	0.8907	0.8637	0.8762	0.9519
0.0612	10.0	900	0.2110	0.9526	0.8907	0.8637	0.8762	0.9519

aiface/phobert-v2-3class_v1

phobert-v2-3class_v1